What changed on LinkedIn
LinkedIn has added a dedicated reporting option for posts that seem like low quality AI slop. The goal is to reduce the volume of posts that appear heavily generated by AI and degrade the quality of what people see.
The update also includes changes to LinkedIn built in writing support, with its AI writing feature being replaced by a proofreading tool. In practice, that shifts the emphasis from generating drafts to checking and correcting text.
Why this matters for UK business teams
If your team uses LinkedIn for marketing, hiring, or thought leadership, these changes affect both your publishing process and your risk posture. More reporting signals can lead to higher scrutiny of content that looks machine generated, especially if it reads generic or low effort.
It also increases the importance of making human review and text quality checks part of the workflow. When the platform itself moves from drafting to proofreading, that is a clear signal that teams should optimize for clarity and accuracy rather than raw volume of posts.
What to do next in your workflows
- Update your internal posting checklist to include explicit proofreading before anything goes live
- Decide what your brand considers acceptable AI assisted writing, then document it for the team
- Add a final quality pass focused on specificity, usefulness, and whether the post sounds like it was generated rather than written
- Review any processes that rely on bulk autoposting, and slow down where posts are most likely to trigger low quality perceptions
- If you manage community or customer content, define how you will respond to user complaints or reports about AI generated or low quality material
Practical rule: treat LinkedIn content as a quality and reputation channel. Use AI for assistance, not as a replacement for editing and judgment, and proofread everything before publishing.